Quantum Optimization

CVIU Lab, EECS Department


University of Arkansas

https://uark-cviu.github.io/
Email: khoaluu@uark.edu

Quatum Optimization

Introduction

We have focused on the classic problem of the Capacitated Vehicle Routing Problem (CVRP) because of its real-world industry applications. Heuristics are often employed to solve this problem because it is difficult. In addition, meta-heuristic algorithms have proven to be capable of finding reasonable solutions to optimization problems like the CVRP. Recent research has shown that quantum-only and hybrid quantum/classical approaches to solving the CVRP are possible. Where quantum approaches are usually limited to minimal optimization problems, hybrid approaches have been able to solve more significant problems. Still, the hybrid approaches often need help finding solutions as good as their classical counterparts.

Research

blind-date QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
James B Holliday, Darren Blount, Hoang Quan Nguyen, Samee U Khan, Khoa Luu
Quantum Week Conference 2025
blind-date Advanced Quantum Annealing Approach to Vehicle Routing Problems with Time Windows
James B Holliday, Darren Blount, Eneko Osaba, Khoa Luu
Under Review 2025
blind-date An Advanced Hybrid Quantum Tabu Search Approach to Vehicle Routing Problems
James B Holliday, Eneko Osaba, Khoa Luu
Under Review 2025
blind-date Quantum Vision Clustering
Xuan Bac Nguyen, Hugh Churchill, Khoa Luu, Samee U. Khan
Discover Internet of Things, 2025
blind-date Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
James B. Holliday, Braeden Morgan, Khoa Luu
Quantum Week Workshop, 2024

Team

Dr. Khoa Luu
Assistant Professor
Project Leader
Xuan Bac Nguyen
PhD Candidate
James B. Holliday
PhD Candidate
Hoang-Quan Nguyen
PhD Candidate

Sponsors